In our second and final episode on the Bubble, we share what is happening in Venture Capital, on the exit - IPO, M&A, etc - front, as well as share clear “so-whats” for entrepreneurs and VCs. For in-d
Is this a bubble? If so, what type of bubble? Where are we heading? We share our views on where the economy is going, the importance and effect of COVID, several key opinions on both sides of the spec
Episode 24 ends our trilogy on Silicon Valley and our “no bs” contextualization: from its history, geography and its most common and core myths. In this episode, we deep dive on our Silicon Valley lo
In episode 23, we demystify 7 of the most common and core myths on Silicon Valley, from its laid-backness to “everyone is amazing”. Check out episode 22, where we explain what Silicon Valley actually
In episode 22, we begin the second season of Tech Deciphered, by deep diving into what Silicon Valley is, what made us (and others) move here, its unabridged mythology and whether there is really an exodus (or not) going on.
In episode 21, we will end our first season of Tech Deciphered, by taking a look back at 2020 - spoiler alert: defined by something starting with a C and ending with a 9 - as well as what we expect to happen in 2021.
In episode 20, the last of our trilogy on recruiting, we share advice to candidates, from ideas and processes on how to best be visible to recruiters, to how to get the job of your dreams. Also listen to our episodes 18 and 19,
In episode 19, we share detailed advice to recruiters, sharing views on job descriptions, finding talent, interview process, good and difficult interview questions, other hacks, as well as our own “pet peeves”.
In episode 18, the first of our trilogy on recruiting, we start by sharing our core principles in this space. We delve into high-level principles, recruiting organization and compensation. In episodes 19 and 20,
In this, the third and final episode of our SaaS Primer - or “everything you wanted to know about SaaS” - we look into Financing/Fundraising, share findings on Benchmarking/KPIs, as well as end the discussion on Lessons Learnt and Predictions.